OW2: ‘The European Union Must Keep Funding Free Software’
OW2 argues that discontinuing NGI funding would weaken Europe’s technological ecosystem, leaving many projects under-resourced and jeopardizing Europe’s position in the global digital landscape. The letter reads, in part: NGI programs have shown their strength and importance to support the European software infrastructure, as a generic funding instrument to fund digital commons and ensure their long-term sustainability. We find this transformation incomprehensible, moreover when NGI has proven efficient and economical to support free software as a whole, from the smallest to the most established initiatives. This ecosystem diversity backs the strength of European technological innovation, and maintaining the NGI initiative to provide structural support to software projects at the heart of worldwide innovation is key to enforce the sovereignty of a European infrastructure. Contrary to common perception, technical innovations often originate from European rather than North American programming communities, and are mostly initiated by small-scaled organizations.
Previous Cluster 4 allocated 27 millions euros to:
– “Human centric Internet aligned with values and principles commonly shared in Europe”;
– “A flourishing internet, based on common building blocks created within NGI, that enables better control of our digital life”;
– “A structured eco-system of talented contributors driving the creation of new internet commons and the evolution of existing internet commons.”
In the name of these challenges, more than 500 projects received NGI funding in the first 5 years, backed by 18 organizations managing these European funding consortia.
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The World’s Population Is Projected To Peak At 10.3 Billion In the 2080s
The estimated world population at the end of the century (2100) is now expected to be 6% less than estimates from a decade ago.
However, calculating the number of future people is not a perfect science, with “many sources of uncertainty in estimating the global population,” according to the U.S. Census Bureau. It estimated the world reached 8 billion people last September, while the U.N. timed the milestone nearly one year earlier.
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How Will AI Transform the Future of Work?
In March, after analysing 22,000 tasks in the UK economy, covering every type of job, a model created by the Institute for Public Policy Research predicted that 59% of tasks currently done by humans — particularly women and young people — could be affected by AI in the next three to five years. In the worst-case scenario, this would trigger a “jobs apocalypse” where eight million people lose their jobs in the UK alone…. Darrell West, author of The Future of Work: AI, Robots and Automation, says that just as policy innovations were needed in Thomas Paine’s time to help people transition from an agrarian to an industrial economy, they are needed today, as we transition to an AI economy. “There’s a risk that AI is going to take a lot of jobs,” he says. “A basic income could help navigate that situation.”
AI’s impact will be far-reaching, he predicts, affecting blue- and white-collar jobs. “It’s not just going to be entry-level people who are affected. And so we need to think about what this means for the economy, what it means for society as a whole. What are people going to do if robots and AI take a lot of the jobs?”
Nell Watson, a futurist who focuses on AI ethics, has a more pessimistic view. She believes we are witnessing the dawn of an age of “AI companies”: corporate environments where very few — if any — humans are employed at all. Instead, at these companies, lots of different AI sub-personalities will work independently on different tasks, occasionally hiring humans for “bits and pieces of work”. These AI companies have the potential to be “enormously more efficient than human businesses”, driving almost everyone else out of business, “apart from a small selection of traditional old businesses that somehow stick in there because their traditional methods are appreciated”… As a result, she thinks it could be AI companies, not governments, that end up paying people a basic income.
AI companies, meanwhile, will have no salaries to pay. “Because there are no human beings in the loop, the profits and dividends of this company could be given to the needy. This could be a way of generating support income in a way that doesn’t need the state welfare. It’s fully compatible with capitalism. It’s just that the AI is doing it.”
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Linux Kernel 6.10 Released
Plus, like in all kernel releases, there’s a glut of groundwork to offer “initial support” for upcoming CPUs, GPUs, NPUs, Wi-Fi, and other hardware (that most of us don’t use yet, but require Linux support to be in place for when devices that use them filter out)…
Linux 6.10 adds (after much gnashing) the mseal() system call to prevent changes being made to portions of the virtual address space. For now, this will mainly benefit Google Chrome, which plans to use it to harden its sandboxing. Work is underway by kernel contributors to allow other apps to benefit, though. A similarly initially-controversial change merged is a new memory-allocation profiling subsystem. This helps developers fine-tune memory usage and more readily identify memory leaks. An explainer from LWN summarizes it well.
Elsewhere, Linux 6.10 offers encrypted interactions with trusted platform modules (TPM) in order to “make the kernel’s use of the TPM reasonably robust in the face of external snooping and packet alteration attacks”. The documentation for this feature explains: “for every in-kernel operation we use null primary salted HMAC to protect the integrity [and] we use parameter encryption to protect key sealing and parameter decryption to protect key unsealing and random number generation.” Sticking with security, the Linux kernel’s Landlock security module can now apply policies to ioctl() calls (Input/Output Control), restricting potential misuse and improving overall system security.
On the networking side there’s significant performance improvements to zero-copy send operations using io_uring, and the newly-added ability to “bundle” multiple buffers for send and receive operations also offers an uptick in performance…
A couple of months ago Canonical announced Ubuntu support for the RISC-V Milk-V Mars single-board computer. Linux 6.10 mainlines support for the Milk-V Mars, which will make that effort a lot more viable (especially with the Ubuntu 24.10 kernel likely to be v6.10 or newer). Others RISC-V improvements abound in Linux 6.10, including support for the Rust language, boot image compression in BZ2, LZ4, LZMA, LZO, and Zstandard (instead of only Gzip); and newer AMD GPUs thanks to kernel-mode FPU support in RISC-V.
Phoronix has their own rundown of Linux 6.10, plus a list of some of the highlights, which includes:
The initial DRM Panic infrastructure
The new Panthor DRM driver for newer Arm Mali graphics
Better AMD ROCm/AMDKFD support for “small” Ryzen APUs and new additions for AMD Zen 5.
AMD GPU display support on RISC-V hardware thanks to RISC-V kernel mode FPU
More Intel Xe2 graphics preparations
Better IO_uring zero-copy performance
Faster AES-XTS disk/file encryption with modern Intel and AMD CPUs
Continued online repair work for XFS
Steam Deck IMU support
TPM bus encryption and integrity protection
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Joe Engle, the Last Living X-15 Pilot, Passed Away July 10 At the Age of 91
Later, he entered the Apollo program and eventually commanded the STS-2 flight of the Space Shuttle.
Here is an interview from 2004. I thought it was interesting that they used the F-104 as the chase plane and for training because the flight characteristics were so similar, which says a lot about the F-104.
Anyway, the X-15 project was a big deal for us science/geek types back when I was a kid. I wonder if it’s something today’s generation is even aware of.
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